Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation

Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation

Blog Article

In image compression, the wavelet transformation is a state-of-the-art component.Recently, wavelet packet decomposition has valhalla axys received quite an interest.A popular approach for wavelet packet decomposition is the near-best-basis algorithm using nonadditive cost functions.

In contrast to additive cost functions, the wavelet packet decomposition of the near-best-basis algorithm is only suboptimal.We apply methods from the field of evolutionary computation (EC) to test the quality of the near-best-basis results.We observe a phenomenon: the results of the near-best-basis algorithm are inferior in terms of cost-function optimization but abc material are superior in terms of rate/distortion performance compared to EC methods.